近空间高超音速无人驾驶飞机空气热动力环境的机器学习快速预测

IF 6.6 1区 计算机科学 Q1 Multidisciplinary
Xujia Chen;Wenhui Fan
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引用次数: 0

摘要

近空间高超音速无人驾驶飞机(NHUA)在极端条件下高速飞行时会遇到显著的气动加热效应。这导致产生高达数千度的极高温度,对 NHUA 的安全构成重大风险。准确、快速地预测空气热动力环境对于非赫尤特无人机的热保护至关重要。传统方法存在一些局限性,包括需要大量预处理、计算时间长、精度不够以及依赖专家知识等,因此不适合在线智能预测。本研究提出了一种新颖的 "飞行状态-压力和热通量-温度 "数据驱动预测理论框架,同时兼顾了效率和精度。我们的方法采用主成分分析(PCA)和多层感知器(MLP)模型,为高维压力和热通量场建立预测模型。此外,还利用递归神经网络(RNN)构建了温度时间序列模型。实验结果表明,预测误差很小,约为 5%。预测一个高维场约需 0.1 秒,预测温度时间序列约需 1 秒,满足了速度和精度的要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Machine Learning Rapid Prediction of the Aerothermodynamic Environment for Near-Space Hypersonic Unmanned Aircraft
Near-space hypersonic unmanned aircrafts (NHUA) encounter significant aerodynamic heating effects when flying at high velocities in extreme conditions. This leads to the generation of extremely high temperatures, reaching several thousand degrees, posing a substantial risk to the safety of NHUA. Accurate and rapid prediction of the aerothermodynamic environment is crucial for the thermal protection of NHUA. Conventional approaches exhibit some limitations, including the need for extensive pre-processing, long calculation time, inadequate precision, and reliance on expert knowledge, making them ill-suited for online intelligent prediction. This study proposes a novel “flying state-pressure and heat flux-temperature” data-driven prediction theoretical framework, considering both efficiency and accuracy. Our approach entails a prediction model for high-dimensional pressure and heat flux fields, employing principal component analysis (PCA) and multi-layer perceptron (MLP) models. A temperature time series model is also constructed using recurrent neural networks (RNN). The experimental results suggest that the prediction error falls within a narrow margin of approximately 5%. It takes around 0.1 seconds to forecast a high-dimensional field and 1 second to predict the temperature time series, which satisfies both speed and accuracy requirements.
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来源期刊
Tsinghua Science and Technology
Tsinghua Science and Technology COMPUTER SCIENCE, INFORMATION SYSTEMSCOMPU-COMPUTER SCIENCE, SOFTWARE ENGINEERING
CiteScore
10.20
自引率
10.60%
发文量
2340
期刊介绍: Tsinghua Science and Technology (Tsinghua Sci Technol) started publication in 1996. It is an international academic journal sponsored by Tsinghua University and is published bimonthly. This journal aims at presenting the up-to-date scientific achievements in computer science, electronic engineering, and other IT fields. Contributions all over the world are welcome.
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